{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "from scipy import signal\n",
    "import cmath\n",
    "nsamples = 1024\n",
    "fs = 44100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_signal(samples = 2048, fs = 44_100):\n",
    "    f0, f1, f2, f3, f4 = 1_000, 4_000, 6_000, 8_000, 17_357\n",
    "    ts = 1 / fs\n",
    "    time = np.linspace(0, samples*ts, samples)\n",
    "\n",
    "    tone_0 = 1 * np.sin(2*np.pi*f0*time)\n",
    "    tone_1 = 0.8 * np.sin(2*np.pi*f1*time)\n",
    "    tone_2 = 2 * np.sin(2*np.pi*f2*time)\n",
    "    tone_3 = 0.1 * np.sin(2*np.pi*f3*time)\n",
    "    tone_4 = 0.3* np.sin(2*np.pi*f4*time)\n",
    "    signal = tone_0 + tone_1 + tone_2*1j + tone_3*1j + tone_4*1j\n",
    "    return signal\n",
    "\n",
    "def compute_fft(data, fs = 44_100):\n",
    "    samples = len(data)\n",
    "    ts = 1 / fs\n",
    "    spectrum = np.fft.fft(data)\n",
    "    freqs = np.fft.fftshift(np.fft.fftfreq(samples, d=ts))\n",
    "    return spectrum, freqs\n",
    "\n",
    "def init(n):\n",
    "    omg = [cmath.exp(-2j * cmath.pi * i / n) for i in range(n)]\n",
    "    return omg\n",
    "\n",
    "def fft(x):\n",
    "    a = np.copy(x)\n",
    "    n = len(a)\n",
    "    omg = init(n)\n",
    "\n",
    "    lim = 0\n",
    "    while (1 << lim) < n:\n",
    "        lim += 1\n",
    "\n",
    "    for i in range(n):\n",
    "        t = 0\n",
    "        for j in range(lim):\n",
    "            if ((i >> j) & 1):\n",
    "                t |= (1 << (lim - j - 1))\n",
    "        if i < t:\n",
    "            a[i], a[t] = a[t], a[i]  # i < t 的限制使得每对点只被交换一次（否则交换两次相当于没交换）\n",
    "    # print(\"swap\")\n",
    "    # print(a[:8])\n",
    "\n",
    "    l = 2\n",
    "    while l <= n:   # stage循环 l为该stage子序列的长度\n",
    "        m = l // 2  # 根据FFT特性，后一半的数值可由前一半的中间值计算得出\n",
    "        for p in range(0, n, l):\n",
    "            for i in range(m):\n",
    "                t = omg[n // l * i] * a[p + i + m]\n",
    "                # print('t=',t)\n",
    "                a[p + i + m] = a[p + i] - t\n",
    "                a[p + i] += t\n",
    "        # if l==512:\n",
    "        #     return a\n",
    "        l *= 2\n",
    "    \n",
    "        \n",
    "    return a\n",
    "\n",
    "import cmath"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "signal = generate_signal(nsamples, fs)\n",
    "spectrum, freqs = compute_fft(signal, fs)\n",
    "spectrum_btf = fft(signal)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dyx/.local/lib/python3.8/site-packages/matplotlib/cbook/__init__.py:1335: ComplexWarning: Casting complex values to real discards the imaginary part\n",
      "  return np.asarray(x, float)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f56e6b8a280>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "plt.plot(freqs / 1e3, 20*np.log(spectrum), label=\"Scipy\")\n",
    "plt.plot(freqs / 1e3, 20*np.log(spectrum_btf), label=\"Btf\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def vector2file_cint16(data: np.array, file: str, plio = 128, bits = 16, scale: bool=True):\n",
    "    \"\"\"\n",
    "    data: samples\n",
    "    file: output filename\n",
    "    plio: bit width of the PLIO port\n",
    "    bits: bit precision per sample\n",
    "    \"\"\"\n",
    "    \"\"\"Scale signal to use full precision\"\"\"\n",
    "    maxr = np.max(np.abs(data.real))\n",
    "    maxi = np.max(np.abs(data.imag))\n",
    "    maxv = maxr if maxr > maxi else maxi\n",
    "    if scale:\n",
    "        # vscale = 2**int(np.floor(np.log2((1 << (bits-1)) / maxv)))\n",
    "        vscale = 1<<9\n",
    "    else:\n",
    "        vscale = 1\n",
    "    data = data * (vscale if scale else 1)\n",
    "    \n",
    "    \"\"\"Write value to file\"\"\"\n",
    "    with open(file, 'w', newline='') as f:\n",
    "        for i, v in enumerate(data):\n",
    "            r = np.int16(v.real)\n",
    "            c = np.int16(v.imag)\n",
    "            f.write(\"{} {} \".format(r, c))\n",
    "            if (((i+1) % 4) == 0 and plio == 128) or (((i+1) % 2) == 1 and plio == 64):\n",
    "                f.write('\\n')\n",
    "    \n",
    "    return vscale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "512\n"
     ]
    }
   ],
   "source": [
    "vscale=vector2file_cint16(signal, 'DataInFFT0.txt', scale=True)\n",
    "print(vscale)\n",
    "# vector2file_cint16(signal, 'DataInFIR0.txt', scale=True)\n",
    "# vector2file_cint16(spectrum, 'DataOutFFT0.txt', scale=True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### WAIT! ! ! AIE! ! !"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv\n",
    "def read_file(file: str, samples: int):\n",
    "    value = np.zeros(samples, dtype=np.complex128)\n",
    "    count = 0\n",
    "    with open(file,'r') as f:\n",
    "        reader = csv.reader(f, delimiter=\" \")\n",
    "        for line in reader:\n",
    "            if 'T' in line[0]:\n",
    "                continue\n",
    "            for i in range(0, len(line), 2):\n",
    "                if line[i] != '':\n",
    "                    value[count] = np.int16(line[i]) + 1j* np.int16(line[i+1])\n",
    "                    count = count + 1\n",
    "    return value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use the output file from the AIE, now using SciPy file for simplicity\n",
    "signal_read = read_file('DataOutFFT0.txt', nsamples)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f56e6acb970>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# scaled_in = read_file('DataInFFT0.txt', nsamples)\n",
    "# spectrum, _ = compute_fft(scaled_in,fs)\n",
    "\n",
    "plt.figure(figsize=(10,5))\n",
    "plt.plot(freqs / 1e3, 20*np.log(signal_read/vscale), label=\"AIE\")\n",
    "plt.plot(freqs / 1e3, 20*np.log(spectrum_btf), label=\"Scipy\",linestyle='--')\n",
    "# plt.plot(freqs / 1e3, signal_read/vscale, label=\"AIE\")\n",
    "# plt.plot(freqs / 1e3, spectrum_btf, label=\"Scipy\",linestyle='--')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array_equal(spectrum, signal_read)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ True,  True,  True, ...,  True,  True,  True])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.isclose(spectrum, signal_read, 2, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "error = spectrum - signal_read"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15275.97279391"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.max(np.abs(error.real))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31663.889117014336"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.max(np.abs(error.imag))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Numpy: Max Real 133.44688494097545, Max Imag 120.72640063052596\n",
      "Numpy: Max Real 15306.0, Max Imag 31597.0\n"
     ]
    }
   ],
   "source": [
    "def findmax(fftnp, fftaie):\n",
    "    print(f'Numpy: Max Real {np.max(np.abs(fftnp.real))}, Max Imag {np.max(np.abs(fftnp.imag))}')\n",
    "    print(f'Numpy: Max Real {np.max(np.abs(fftaie.real))}, Max Imag {np.max(np.abs(fftaie.imag))}')\n",
    "\n",
    "findmax(spectrum, signal_read)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(-707209850+29052358j)\n",
      "-43165 1773\n"
     ]
    }
   ],
   "source": [
    "a=-29730-31346*1j\n",
    "b=10777-12340*1j\n",
    "c=a*b\n",
    "print(c)\n",
    "print(int(c.real)>>14,int(c.imag)>>14)\n",
    "# print(int(0xffffffffd5d8d586), int(0x0000000001bb4dc6))\n",
    "# print(hex(int(c.real)),hex(int(c.imag)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  },
  "vscode": {
   "interpreter": {
    "hash": "bd76463b23fe99089a42dcbd61c93a219c6242df3d4b53db5f5a167e07e18f3c"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
